Jin Duan

1.1k citations
107 papers · 778 · 1 hit paper · h-index 12

Impact in

Papers in

Jin Duan

90 papers receiving 732 citations

Jin Duan's Hit Papers

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model 2020 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Jin Duan
Comparison fields: 5 of 111
  • Civil and Structural Engineering 222
  • Building and Construction 127
  • Acoustics and Ultrasonics 7
  • Media Technology 66
  • Instrumentation 19
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Citations per field
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Citations per year

Countries citing papers authored by Jin Duan

Since Specialization
Citations

This map shows the geographic impact of Jin Duan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Duan more than expected).

Fields of papers citing papers by Jin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Duan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Duan. The network helps show where Jin Duan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Duan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Duan Line = papers co-authored together Jin Duan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
Hit paper breakdown →
2020284
2 201159
3 202347
4 202232
5 202022
6 201321
7 202221
8 202318
9 202316
10 202312
11 201912
12 200911
13 202310
14 20249
15 20229
16 20228
17 20227
18 20057
19
Affective Events Theory:Contents,Application and Future Directions
20117
20
Isoflavans and Isoflavone from Astragalus hoantchy
20026

About Jin Duan

Jin Duan is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology and Aerospace Engineering, having authored 107 papers that have together received 778 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (33 papers), Advanced Image Fusion Techniques (15 papers), Infrared Target Detection Methodologies (14 papers), Optical Systems and Laser Technology (13 papers), Image Enhancement Techniques (12 papers), Atmospheric aerosols and clouds (10 papers), Advanced Measurement and Detection Methods (9 papers) and Image Processing Techniques and Applications (8 papers). The work is most often cited by research in Civil and Structural Engineering (222 citations), Building and Construction (127 citations), Acoustics and Ultrasonics (7 citations), Media Technology (66 citations) and Instrumentation (19 citations). Jin Duan has collaborated with scholars based in China, Vietnam and Germany. Frequent co-authors include Hoang Nguyen, Xuan-Nam Bui, Hossein Moayedi, Panagiotis G. Asteris, Juntong Zhan, Qiang Fu, Ju Liu, Huilin Jiang, Yingchao Li and Qiang Fu. Their work appears in journals such as Applied Optics, Optics Express, Optics and Lasers in Engineering, Sensors and Applied Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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